A dynamic lightweight blockchain sharding protocol for autonomous collaborative combat of UAV swarms in denied environments. [PDF]
Sci RepXu Y, Zhu X, Bai Y, Chen Z, Sun M.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova +5 more
wiley +1 more source
Fault-Tolerant Control of Autonomous Underwater Vehicle Actuators Based on Takagi and Sugeno Fuzzy and Pseudo-Inverse Quadratic Programming under Constraints. [PDF]
Sensors (Basel)Zhang Z, Wu Y, Zhou Y, Hu D.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.We developed methods to characterize soft contractile actuators using force–displacement measurements in the passive state and the total force in the active state and define the operational range of thermal, electrothermal, and pneumatic muscles. A graphical method enables the selection of an actuator based on the required mechanical force–displacement
Qiong Wang +5 more
wiley +1 more source
Neural Associative Skill Memories for Safer Robotics and Modeling Human Sensorimotor Repertoires. [PDF]
Neural ComputMahajan P +4 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
NetTopoBFT: Network Topology-Aware Byzantine Fault Tolerance for High-Coverage Consortium Blockchains. [PDF]
Entropy (Basel)Chen R, Zhu R, Wang L.
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
DML-LLM Hybrid Architecture for Fault Detection and Diagnosis in Sensor-Rich Industrial Systems. [PDF]
Sensors (Basel)Hu YS, Marandi S, Modarres M.
europepmc +1 more source
Improving access to new technologies: An experiment with Kenyan input sellers
American Journal of Agricultural Economics, EarlyView.Abstract Agrodealers play a critical role in rural economies, selling essential inputs for agricultural production, stocking new products, and providing farmers with technical advice. However, uncertainty can discourage them from stocking newer, less familiar products, limiting the availability of innovative technologies and leading to market failures ...
Sarah W. Kariuki +6 more
wiley +1 more source